Outcomet pulls your scattered customer signal into themes, turns each one into a decision with the evidence attached, and connects it to delivery. So when your CEO asks "why this?", the answer is already there.
Feedback, calls, and tickets land in one place and cluster into themes automatically, with no more hunting across ten tools.
Each theme becomes a build / validate / fix call with its evidence attached. The "why" is recorded as you decide, not reconstructed later.
Three themes trace to one bottleneck. Caching the workspace tree unblocks all three and removes the top churn driver named in calls this quarter.
Every decision carries its evidence and links to Jira, Linear, or GitHub. When someone asks "why this?", the answer is one click away.
Nova helps you read scattered signal, cluster it into themes, and turn each one into a decision with the evidence already attached. She's one of the AI agents inside Outcomet. Let her walk you through how it all fits together.
Clusters feedback, calls, and tickets into durable themes
Drafts each decision with its evidence and the "why" attached
Keeps the reasoning connected to Jira, Linear, and GitHub
Signal is everywhere, from sales calls and support tickets to Slack and Notion, yet completely nowhere when you need it. The roadmap gets built on opinion, you ship, and three months later nobody remembers why. When the CEO asks "why this?", you're rebuilding the argument from memory.
Three themes trace to the same bottleneck. Caching the workspace tree unblocks all three and removes the most-cited churn driver this quarter.
Each theme becomes a build, validate, or fix decision instead of a vague backlog item. This one's a build.
The signals that justified it are attached as you decide, weighted by how often they showed up. The why is recorded, not reconstructed.
Every decision connects to the Jira ticket and GitHub PR that carry it out. This means "why this?" is always one click from what actually shipped.
It all stays attached. Three releases later, the reasoning is still here to defend.
It makes the call and preserves the why. Jira, Linear, and GitHub own the when and the how. Outcomet owns the why, and keeps it connected to them.
Once it ships, the loop comes back. Every change stays wired to the theme that prompted it and the capabilities it moved, so you can always answer what changed, why, and what it affected.
The why doesn't evaporate at release. Go back through the history and the evidence remains attached. You can defend a decision long after it was made, preventing the loss of product logic you'll wish you had kept.
Agent Work powers signal processing, clustering, and decision support, so cost maps to your true learning velocity.
For individuals building their first AI-native product process.
Scale your product organization with continuous feedback loops, multi-agent workflows, and advanced governance.
All standard tiers include a 14-day free trial.
2 seats · 500 Agent Work / month
5 seats · 1,500 Agent Work / month
10 seats · 5,000 Agent Work / month
Prices shown already include the 20% early access launch discount. Start with a 14-day free trial. Annual billing offers an additional 15% discount. Additional seats are €19/user/month.